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Add danbooru-mcp auto-start, git sync, status API endpoints, navbar status indicators, and LLM format retry

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- app.py: add subprocess import; add _ensure_mcp_repo() to clone/pull
  danbooru-mcp from https://git.liveaodh.com/aodhan/danbooru-mcp into
  tools/danbooru-mcp/ at startup; add ensure_mcp_server_running() which
  calls _ensure_mcp_repo() then starts the Docker container if not running;
  add GET /api/status/comfyui and GET /api/status/mcp health endpoints;
  fix call_llm() to retry up to 3 times on unexpected response format
  (KeyError/IndexError), logging the raw response and prompting the LLM
  to respond with valid JSON before each retry
- templates/layout.html: add ComfyUI and MCP status dot indicators to
  navbar; add polling JS that checks both endpoints on load and every 30s
- static/style.css: add .service-status, .status-dot, .status-ok,
  .status-error, .status-checking styles and status-pulse keyframe animation
- .gitignore: add tools/ to exclude the cloned danbooru-mcp repo
This commit is contained in:
Aodhan Collins
2026-03-03 00:57:27 +00:00
parent 0b8802deb5
commit ae7ba961c1
1194 changed files with 17475 additions and 3268 deletions
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30
templates/scenes/edit.html
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@@ -48,6 +48,23 @@
<label for="lora_lora_triggers" class="form-label">Triggers</label>
<input type="text" class="form-control" id="lora_lora_triggers" name="lora_lora_triggers" value="{{ scene.data.lora.lora_triggers if scene.data.lora else '' }}">
</div>
<div class="row mt-3">
<div class="col-md-6">
<label for="lora_lora_weight_min" class="form-label small text-muted">Min Weight <span class="text-warning">(randomised)</span></label>
<input type="number" step="0.05" min="-5" max="5" class="form-control form-control-sm"
id="lora_lora_weight_min" name="lora_lora_weight_min"
value="{{ scene.data.lora.get('lora_weight_min', '') if scene.data.lora else '' }}"
placeholder="e.g. 0.6">
</div>
<div class="col-md-6">
<label for="lora_lora_weight_max" class="form-label small text-muted">Max Weight <span class="text-warning">(randomised)</span></label>
<input type="number" step="0.05" min="-5" max="5" class="form-control form-control-sm"
id="lora_lora_weight_max" name="lora_lora_weight_max"
value="{{ scene.data.lora.get('lora_weight_max', '') if scene.data.lora else '' }}"
placeholder="e.g. 1.0">
</div>
</div>
<p class="text-muted small mt-1 mb-0">When Min ≠ Max, weight is randomised between them each generation.</p>
</div>
</div>
@@ -85,6 +102,19 @@
</div>
</div>
<!-- Tags -->
<div class="card mb-4">
<div class="card-header bg-light"><strong>Tags</strong></div>
<div class="card-body">
<div class="mb-3">
<label for="tags" class="form-label">Tags</label>
<input type="text" class="form-control" id="tags" name="tags"
value="{{ scene.data.tags | join(', ') if scene.data.tags else '' }}">
<div class="form-text">Comma-separated tags appended to every generation.</div>
</div>
</div>
</div>
<div class="d-grid gap-2 d-md-flex justify-content-md-end">
<a href="{{ url_for('scene_detail', slug=scene.slug) }}" class="btn btn-secondary">Cancel</a>
<button type="submit" class="btn btn-primary">Save Changes</button>